Triple

T17358583
Position Surface form Disambiguated ID Type / Status
Subject PSP ČR E422008 entity
Predicate abbreviation P43 FINISHED
Object PSP ČR NE ONNED1

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PSP ČR | Statement: [PSP ČR, abbreviation, PSP ČR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PSP ČR
Context triple: [PSP ČR, abbreviation, PSP ČR]
  • A. PSP ČR chosen
    PSP ČR is the commonly used Czech abbreviation for the Chamber of Deputies, the lower house of the Parliament of the Czech Republic.
  • B. NS ČR
    NS ČR is the highest judicial authority in the Czech Republic for civil and criminal matters, ensuring uniform application of law across the country.
  • C. AČR
    AČR is the abbreviation for the Army of the Czech Republic, the main land-based military force of the Czech Republic.
  • D. PID Prague
    PID Prague is Prague’s integrated public transport system that unifies metro, trams, buses, and suburban services under a common ticketing and fare structure.
  • E. MZV ČR
    MZV ČR is the commonly used Czech abbreviation for the Ministry of Foreign Affairs of the Czech Republic, the government body responsible for the country’s foreign policy and international relations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4a37788190b330b7207aa424b6 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955e4cb481909e3193439bb85cd8 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.